Visual tools to assess the plausibility of algorithm-identified infectious disease clusters: an application to mumps data from the Netherlands dating from January 2009 to June 2016

INTRODUCTION: With growing amounts of data available, identification of clusters of persons linked to each other by transmission of an infectious disease increasingly relies on automated algorithms. We propose cluster finding to be a two-step process: first, possible transmission clusters are identi...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Euro Surveill
Egile Nagusiak: Soetens, Loes, Backer, Jantien A., Hahné, Susan, van Binnendijk, Rob, Gouma, Sigrid, Wallinga, Jacco
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: European Centre for Disease Prevention and Control (ECDC) 2019
Gaiak:
Research
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6440581/
https://ncbi.nlm.nih.gov/pubmed/30914076
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2807/1560-7917.ES.2019.24.12.1800331
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